Lessons Learned and Future Work 8

Data Constraints: Limited data depth made it difficult to derive detailed insights. Nevertheless, I maximized the available information to provide useful, albeit broader, conclusions.
Insight Generation: Despite the data challenges, I employed creative strategies to extract meaningful insights, emphasizing the need for more detailed data in future work.

Real-Time Data Integration: Implementing real-time data could allow for quicker responses to issues as they arise.
Model Expansion: Broadening the model to include more patient demographics and conditions would increase its applicability.
Advanced Techniques: Utilizing deep learning could enhance prediction accuracy.
Automated Alerts: Developing automated alerts based on predictions could improve proactive care and decision-making.